The backpropagation (BP) algorithm is a one of the most common algorithms used in the training of neural networks. The single offspring technique (SOFT algorithm) is a new technique (see Likartsis, A.

Development and Training of an Artificial Neural Network with Backpropagation for Predictive Modeling on Sample Data. - PrudhviPendyala97/Soft_Computing_Project ...

Buragohain, M. and Mahanta, C. (2008) A Novel Approach for ANFIS Modelling Based on Full Factorial Design. Applied Soft Computing, 8, 609-625. Login. ... and is trained using a supervised ...

A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...

Turing Award winner and deep learning pioneer Geoffrey Hinton, one of the original proponents of backpropagation, has argued in recent years that backpropagation does not explain how the brain works.